Senior AI Engineer (Agentic AI)

Location: Hybrid, Sydney, Australia

Company

hirify.global develops open-source and enterprise AI cloud solutions, including agentic AI systems, SLMs, predictive AI, and Generative AI for private and regulated data.

What you will do

• Design and build agentic AI systems, multi-agent frameworks, and LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use.
• Develop model distillation and synthetic data generation workflows for fine-tuning open-source models such as Gemma, including PEFT-QLORA frameworks.
• Implement guardrails, evaluation frameworks, responsible AI controls, ML pipelines, and LLMOps infrastructure for continuous production monitoring and improvement.
• Own the end-to-end AI application lifecycle from problem framing and data exploration through model development, API integration, and production deployment.
• Build scalable backend services and APIs and integrate AI models into cloud, on-premises, and hybrid customer environments.
• Work with customer data scientists, engineers, business stakeholders, Program Managers, Solution Engineers, and Kaggle Grandmasters on delivery, pre-sales, and proof-of-concept engagements.

Requirements

• 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.
• Demonstrable experience building LLM-powered applications, including RAG pipelines, agentic workflows, or fine-tuned models.
• Strong Python engineering skills and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn, plus LLM tooling such as LangChain, LlamaIndex, or equivalent.
• Experience deploying models and AI services in cloud or enterprise environments, including AWS, Azure, GCP, or on-premises Kubernetes.
• Deep understanding of prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.
• Solid knowledge of classical machine learning and the ability to select appropriate methods for different problems.
• Backend development skills with REST APIs, Docker, Kubernetes, and CI/CD pipelines for AI applications.
• Strong problem-solving skills, comfort with ambiguity, and the ability to move quickly without sacrificing engineering quality.
• Clear communication skills for explaining complex AI systems to technical and non-technical stakeholders.

Nice to have

• Kaggle or competitive machine learning experience.
• Familiarity with hirify.global products such as TabH2O, TimeH2O, and Lightning-JEV.
• Experience in financial services, healthcare, or another regulated-industry AI deployment environment.
• Exposure to tabular foundation models, AutoML, or enterprise ML platforms.
• Previous customer-facing or field engineering experience.

Culture & Benefits

• Remote-friendly culture with a flexible working environment.
• Market-leading total rewards.
• Career growth opportunities.
• Work with a world-class team and contribute to an AI for Good and responsible AI mission.